Overview

Dataset statistics

Number of variables13
Number of observations9360
Missing cells0
Missing cells (%)0.0%
Duplicate rows402
Duplicate rows (%)4.3%
Total size in memory1023.8 KiB
Average record size in memory112.0 B

Variable types

Text5
Categorical5
Numeric2
DateTime1

Alerts

Dataset has 402 (4.3%) duplicate rowsDuplicates
Type is highly imbalanced (63.8%)Imbalance
Content Rating is highly imbalanced (59.8%)Imbalance

Reproduction

Analysis started2026-02-01 09:18:48.258289
Analysis finished2026-02-01 09:29:54.798824
Duration11 minutes and 6.54 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

App
Text

Distinct8190
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
2026-02-01T01:29:55.767638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length194
Median length74
Mean length23.197756
Min length1

Characters and Unicode

Total characters217131
Distinct characters389
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7401 ?
Unique (%)79.1%

Sample

1st rowPhoto Editor & Candy Camera & Grid & ScrapBook
2nd rowColoring book moana
3rd rowU Launcher Lite – FREE Live Cool Themes, Hide Apps
4th rowSketch - Draw & Paint
5th rowPixel Draw - Number Art Coloring Book
ValueCountFrequency (%)
2656
 
7.0%
for511
 
1.4%
free500
 
1.3%
app300
 
0.8%
and248
 
0.7%
the247
 
0.7%
mobile197
 
0.5%
news185
 
0.5%
live182
 
0.5%
video180
 
0.5%
Other values (8308)32476
86.2%
2026-02-01T01:29:57.298997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28322
 
13.0%
e17490
 
8.1%
a13260
 
6.1%
o12379
 
5.7%
r11978
 
5.5%
i10797
 
5.0%
t9371
 
4.3%
n8777
 
4.0%
s7812
 
3.6%
l7650
 
3.5%
Other values (379)89295
41.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)217131
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
28322
 
13.0%
e17490
 
8.1%
a13260
 
6.1%
o12379
 
5.7%
r11978
 
5.5%
i10797
 
5.0%
t9371
 
4.3%
n8777
 
4.0%
s7812
 
3.6%
l7650
 
3.5%
Other values (379)89295
41.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)217131
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
28322
 
13.0%
e17490
 
8.1%
a13260
 
6.1%
o12379
 
5.7%
r11978
 
5.5%
i10797
 
5.0%
t9371
 
4.3%
n8777
 
4.0%
s7812
 
3.6%
l7650
 
3.5%
Other values (379)89295
41.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)217131
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
28322
 
13.0%
e17490
 
8.1%
a13260
 
6.1%
o12379
 
5.7%
r11978
 
5.5%
i10797
 
5.0%
t9371
 
4.3%
n8777
 
4.0%
s7812
 
3.6%
l7650
 
3.5%
Other values (379)89295
41.1%

Category
Categorical

Distinct33
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
FAMILY
1746 
GAME
1097 
TOOLS
733 
PRODUCTIVITY
 
351
MEDICAL
 
350
Other values (28)
5083 

Length

Max length19
Median length16
Mean length8.9383547
Min length4

Characters and Unicode

Total characters83663
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowART_AND_DESIGN
2nd rowART_AND_DESIGN
3rd rowART_AND_DESIGN
4th rowART_AND_DESIGN
5th rowART_AND_DESIGN

Common Values

ValueCountFrequency (%)
FAMILY1746
18.7%
GAME1097
 
11.7%
TOOLS733
 
7.8%
PRODUCTIVITY351
 
3.8%
MEDICAL350
 
3.7%
COMMUNICATION328
 
3.5%
FINANCE323
 
3.5%
SPORTS319
 
3.4%
PHOTOGRAPHY317
 
3.4%
LIFESTYLE314
 
3.4%
Other values (23)3482
37.2%

Length

2026-02-01T01:29:57.658393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
family1746
18.7%
game1097
 
11.7%
tools733
 
7.8%
productivity351
 
3.8%
medical350
 
3.7%
communication328
 
3.5%
finance323
 
3.5%
sports319
 
3.4%
photography317
 
3.4%
lifestyle314
 
3.4%
Other values (23)3482
37.2%

Most occurring characters

ValueCountFrequency (%)
A9096
 
10.9%
I7431
 
8.9%
E6752
 
8.1%
N6209
 
7.4%
O6133
 
7.3%
S5302
 
6.3%
L5300
 
6.3%
T5112
 
6.1%
M4553
 
5.4%
_3042
 
3.6%
Other values (14)24733
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)83663
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A9096
 
10.9%
I7431
 
8.9%
E6752
 
8.1%
N6209
 
7.4%
O6133
 
7.3%
S5302
 
6.3%
L5300
 
6.3%
T5112
 
6.1%
M4553
 
5.4%
_3042
 
3.6%
Other values (14)24733
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)83663
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A9096
 
10.9%
I7431
 
8.9%
E6752
 
8.1%
N6209
 
7.4%
O6133
 
7.3%
S5302
 
6.3%
L5300
 
6.3%
T5112
 
6.1%
M4553
 
5.4%
_3042
 
3.6%
Other values (14)24733
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)83663
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A9096
 
10.9%
I7431
 
8.9%
E6752
 
8.1%
N6209
 
7.4%
O6133
 
7.3%
S5302
 
6.3%
L5300
 
6.3%
T5112
 
6.1%
M4553
 
5.4%
_3042
 
3.6%
Other values (14)24733
29.6%

Rating
Real number (ℝ)

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1918376
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size146.2 KiB
2026-02-01T01:29:58.955379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q14
median4.3
Q34.5
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.51526297
Coefficient of variation (CV)0.12292055
Kurtosis5.789216
Mean4.1918376
Median Absolute Deviation (MAD)0.2
Skewness-1.8501346
Sum39235.6
Variance0.26549593
MonotonicityNot monotonic
2026-02-01T01:29:59.596025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4.41108
11.8%
4.31076
11.5%
4.51037
11.1%
4.2951
10.2%
4.6823
8.8%
4.1707
 
7.6%
4567
 
6.1%
4.7499
 
5.3%
3.9386
 
4.1%
3.8303
 
3.2%
Other values (29)1903
20.3%
ValueCountFrequency (%)
116
0.2%
1.21
 
< 0.1%
1.43
 
< 0.1%
1.53
 
< 0.1%
1.64
 
< 0.1%
1.78
0.1%
1.88
0.1%
1.913
0.1%
212
0.1%
2.18
0.1%
ValueCountFrequency (%)
5274
 
2.9%
4.987
 
0.9%
4.8234
 
2.5%
4.7499
5.3%
4.6823
8.8%
4.51037
11.1%
4.41108
11.8%
4.31076
11.5%
4.2951
10.2%
4.1707
7.6%

Reviews
Real number (ℝ)

Distinct5990
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean514376.71
Minimum1
Maximum78158306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size146.2 KiB
2026-02-01T01:30:00.221065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q1186.75
median5955
Q381627.5
95-th percentile1859109.3
Maximum78158306
Range78158305
Interquartile range (IQR)81440.75

Descriptive statistics

Standard deviation3145023.3
Coefficient of variation (CV)6.1142412
Kurtosis294.9104
Mean514376.71
Median Absolute Deviation (MAD)5947
Skewness15.303031
Sum4.814566 × 109
Variance9.8911713 × 1012
MonotonicityNot monotonic
2026-02-01T01:30:00.799249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283
 
0.9%
378
 
0.8%
474
 
0.8%
574
 
0.8%
167
 
0.7%
762
 
0.7%
662
 
0.7%
857
 
0.6%
1253
 
0.6%
1046
 
0.5%
Other values (5980)8704
93.0%
ValueCountFrequency (%)
167
0.7%
283
0.9%
378
0.8%
474
0.8%
574
0.8%
662
0.7%
762
0.7%
857
0.6%
939
0.4%
1046
0.5%
ValueCountFrequency (%)
781583061
< 0.1%
781282081
< 0.1%
691193162
< 0.1%
691096721
< 0.1%
665774461
< 0.1%
665773132
< 0.1%
665099171
< 0.1%
566465781
< 0.1%
566428472
< 0.1%
448938881
< 0.1%

Size
Text

Distinct413
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
2026-02-01T01:30:02.752490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.957906
Min length3

Characters and Unicode

Total characters55766
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)2.2%

Sample

1st row19M
2nd row14M
3rd row8.7M
4th row25M
5th row2.8M
ValueCountFrequency (%)
with1637
 
13.0%
varies1637
 
13.0%
device1637
 
13.0%
14m165
 
1.3%
12m161
 
1.3%
11m159
 
1.3%
15m159
 
1.3%
13m157
 
1.2%
25m137
 
1.1%
17m131
 
1.0%
Other values (405)6654
52.7%
2026-02-01T01:30:04.783874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M7466
 
13.4%
e4911
 
8.8%
i4911
 
8.8%
3274
 
5.9%
.2895
 
5.2%
12542
 
4.6%
22305
 
4.1%
31992
 
3.6%
41688
 
3.0%
V1637
 
2.9%
Other values (16)22145
39.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)55766
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
M7466
 
13.4%
e4911
 
8.8%
i4911
 
8.8%
3274
 
5.9%
.2895
 
5.2%
12542
 
4.6%
22305
 
4.1%
31992
 
3.6%
41688
 
3.0%
V1637
 
2.9%
Other values (16)22145
39.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)55766
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
M7466
 
13.4%
e4911
 
8.8%
i4911
 
8.8%
3274
 
5.9%
.2895
 
5.2%
12542
 
4.6%
22305
 
4.1%
31992
 
3.6%
41688
 
3.0%
V1637
 
2.9%
Other values (16)22145
39.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)55766
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
M7466
 
13.4%
e4911
 
8.8%
i4911
 
8.8%
3274
 
5.9%
.2895
 
5.2%
12542
 
4.6%
22305
 
4.1%
31992
 
3.6%
41688
 
3.0%
V1637
 
2.9%
Other values (16)22145
39.7%

Installs
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
1,000,000+
1576 
10,000,000+
1252 
100,000+
1150 
10,000+
1009 
5,000,000+
752 
Other values (14)
3621 

Length

Max length14
Median length11
Mean length8.5398504
Min length2

Characters and Unicode

Total characters79933
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10,000+
2nd row500,000+
3rd row5,000,000+
4th row50,000,000+
5th row100,000+

Common Values

ValueCountFrequency (%)
1,000,000+1576
16.8%
10,000,000+1252
13.4%
100,000+1150
12.3%
10,000+1009
10.8%
5,000,000+752
8.0%
1,000+712
7.6%
500,000+537
 
5.7%
50,000+466
 
5.0%
5,000+431
 
4.6%
100,000,000+409
 
4.4%
Other values (9)1066
11.4%

Length

2026-02-01T01:30:05.112026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1,000,0001576
16.8%
10,000,0001252
13.4%
100,0001150
12.3%
10,0001009
10.8%
5,000,000752
8.0%
1,000712
7.6%
500,000537
 
5.7%
50,000466
 
5.0%
5,000431
 
4.6%
100,000,000409
 
4.4%
Other values (9)1066
11.4%

Most occurring characters

ValueCountFrequency (%)
048034
60.1%
,13179
 
16.5%
+9360
 
11.7%
16547
 
8.2%
52813
 
3.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)79933
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
048034
60.1%
,13179
 
16.5%
+9360
 
11.7%
16547
 
8.2%
52813
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)79933
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
048034
60.1%
,13179
 
16.5%
+9360
 
11.7%
16547
 
8.2%
52813
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)79933
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
048034
60.1%
,13179
 
16.5%
+9360
 
11.7%
16547
 
8.2%
52813
 
3.5%

Type
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
Free
8715 
Paid
 
645

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters37440
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFree
2nd rowFree
3rd rowFree
4th rowFree
5th rowFree

Common Values

ValueCountFrequency (%)
Free8715
93.1%
Paid645
 
6.9%

Length

2026-02-01T01:30:05.455800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-02-01T01:30:05.690187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
free8715
93.1%
paid645
 
6.9%

Most occurring characters

ValueCountFrequency (%)
e17430
46.6%
F8715
23.3%
r8715
23.3%
P645
 
1.7%
a645
 
1.7%
i645
 
1.7%
d645
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)37440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e17430
46.6%
F8715
23.3%
r8715
23.3%
P645
 
1.7%
a645
 
1.7%
i645
 
1.7%
d645
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)37440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e17430
46.6%
F8715
23.3%
r8715
23.3%
P645
 
1.7%
a645
 
1.7%
i645
 
1.7%
d645
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)37440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e17430
46.6%
F8715
23.3%
r8715
23.3%
P645
 
1.7%
a645
 
1.7%
i645
 
1.7%
d645
 
1.7%

Price
Text

Distinct73
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
2026-02-01T01:30:06.205851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.2850427
Min length1

Characters and Unicode

Total characters12028
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
08715
93.1%
2.99114
 
1.2%
0.99106
 
1.1%
4.9970
 
0.7%
1.9959
 
0.6%
3.9958
 
0.6%
1.4930
 
0.3%
2.4921
 
0.2%
5.9918
 
0.2%
9.9916
 
0.2%
Other values (63)153
 
1.6%
2026-02-01T01:30:07.002777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
08860
73.7%
91206
 
10.0%
.645
 
5.4%
$645
 
5.4%
4179
 
1.5%
2163
 
1.4%
1148
 
1.2%
393
 
0.8%
533
 
0.3%
622
 
0.2%
Other values (2)34
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)12028
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
08860
73.7%
91206
 
10.0%
.645
 
5.4%
$645
 
5.4%
4179
 
1.5%
2163
 
1.4%
1148
 
1.2%
393
 
0.8%
533
 
0.3%
622
 
0.2%
Other values (2)34
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)12028
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
08860
73.7%
91206
 
10.0%
.645
 
5.4%
$645
 
5.4%
4179
 
1.5%
2163
 
1.4%
1148
 
1.2%
393
 
0.8%
533
 
0.3%
622
 
0.2%
Other values (2)34
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)12028
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
08860
73.7%
91206
 
10.0%
.645
 
5.4%
$645
 
5.4%
4179
 
1.5%
2163
 
1.4%
1148
 
1.2%
393
 
0.8%
533
 
0.3%
622
 
0.2%
Other values (2)34
 
0.3%

Content Rating
Categorical

Imbalance 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
Everyone
7414 
Teen
1084 
Mature 17+
 
461
Everyone 10+
 
397
Adults only 18+
 
3

Length

Max length15
Median length8
Mean length7.8070513
Min length4

Characters and Unicode

Total characters73074
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowEveryone
2nd rowEveryone
3rd rowEveryone
4th rowTeen
5th rowEveryone

Common Values

ValueCountFrequency (%)
Everyone7414
79.2%
Teen1084
 
11.6%
Mature 17+461
 
4.9%
Everyone 10+397
 
4.2%
Adults only 18+3
 
< 0.1%
Unrated1
 
< 0.1%

Length

2026-02-01T01:30:07.252796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-02-01T01:30:07.580940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
everyone7811
76.4%
teen1084
 
10.6%
mature461
 
4.5%
17461
 
4.5%
10397
 
3.9%
adults3
 
< 0.1%
only3
 
< 0.1%
183
 
< 0.1%
unrated1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e18252
25.0%
n8899
12.2%
r8273
11.3%
y7814
10.7%
o7814
10.7%
v7811
10.7%
E7811
10.7%
T1084
 
1.5%
864
 
1.2%
1861
 
1.2%
Other values (13)3591
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)73074
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e18252
25.0%
n8899
12.2%
r8273
11.3%
y7814
10.7%
o7814
10.7%
v7811
10.7%
E7811
10.7%
T1084
 
1.5%
864
 
1.2%
1861
 
1.2%
Other values (13)3591
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)73074
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e18252
25.0%
n8899
12.2%
r8273
11.3%
y7814
10.7%
o7814
10.7%
v7811
10.7%
E7811
10.7%
T1084
 
1.5%
864
 
1.2%
1861
 
1.2%
Other values (13)3591
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)73074
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e18252
25.0%
n8899
12.2%
r8273
11.3%
y7814
10.7%
o7814
10.7%
v7811
10.7%
E7811
10.7%
T1084
 
1.5%
864
 
1.2%
1861
 
1.2%
Other values (13)3591
 
4.9%

Genres
Text

Distinct115
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
2026-02-01T01:30:08.831023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length37
Median length32
Mean length10.461432
Min length4

Characters and Unicode

Total characters97919
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.2%

Sample

1st rowArt & Design
2nd rowArt & Design;Pretend Play
3rd rowArt & Design
4th rowArt & Design
5th rowArt & Design;Creativity
ValueCountFrequency (%)
1794
 
13.4%
tools732
 
5.5%
entertainment533
 
4.0%
education468
 
3.5%
action358
 
2.7%
productivity351
 
2.6%
medical350
 
2.6%
sports333
 
2.5%
communication328
 
2.4%
finance323
 
2.4%
Other values (121)7818
58.4%
2026-02-01T01:30:11.174599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i8426
 
8.6%
o7955
 
8.1%
n7696
 
7.9%
a7568
 
7.7%
t7566
 
7.7%
e7559
 
7.7%
s5120
 
5.2%
4028
 
4.1%
l4007
 
4.1%
r3964
 
4.0%
Other values (33)34030
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)97919
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i8426
 
8.6%
o7955
 
8.1%
n7696
 
7.9%
a7568
 
7.7%
t7566
 
7.7%
e7559
 
7.7%
s5120
 
5.2%
4028
 
4.1%
l4007
 
4.1%
r3964
 
4.0%
Other values (33)34030
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)97919
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i8426
 
8.6%
o7955
 
8.1%
n7696
 
7.9%
a7568
 
7.7%
t7566
 
7.7%
e7559
 
7.7%
s5120
 
5.2%
4028
 
4.1%
l4007
 
4.1%
r3964
 
4.0%
Other values (33)34030
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)97919
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i8426
 
8.6%
o7955
 
8.1%
n7696
 
7.9%
a7568
 
7.7%
t7566
 
7.7%
e7559
 
7.7%
s5120
 
5.2%
4028
 
4.1%
l4007
 
4.1%
r3964
 
4.0%
Other values (33)34030
34.8%
Distinct1299
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
Minimum2010-05-21 00:00:00
Maximum2018-08-08 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2026-02-01T01:30:11.908014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-01T01:30:12.640881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2638
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
2026-02-01T01:30:14.807866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length50
Median length47
Mean length7.1592949
Min length1

Characters and Unicode

Total characters67011
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1684 ?
Unique (%)18.0%

Sample

1st row1.0.0
2nd row2.0.0
3rd row1.2.4
4th rowVaries with device
5th row1.1
ValueCountFrequency (%)
varies1415
 
11.5%
with1415
 
11.5%
device1415
 
11.5%
1.0459
 
3.7%
1.1195
 
1.6%
1.2126
 
1.0%
1.3121
 
1.0%
2.0119
 
1.0%
1.0.180
 
0.7%
1.477
 
0.6%
Other values (2672)6878
55.9%
2026-02-01T01:30:17.641264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
.13433
20.0%
17449
 
11.1%
04575
 
6.8%
e4349
 
6.5%
i4303
 
6.4%
23872
 
5.8%
2940
 
4.4%
32473
 
3.7%
41999
 
3.0%
51614
 
2.4%
Other values (65)20004
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)67011
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
.13433
20.0%
17449
 
11.1%
04575
 
6.8%
e4349
 
6.5%
i4303
 
6.4%
23872
 
5.8%
2940
 
4.4%
32473
 
3.7%
41999
 
3.0%
51614
 
2.4%
Other values (65)20004
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)67011
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
.13433
20.0%
17449
 
11.1%
04575
 
6.8%
e4349
 
6.5%
i4303
 
6.4%
23872
 
5.8%
2940
 
4.4%
32473
 
3.7%
41999
 
3.0%
51614
 
2.4%
Other values (65)20004
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)67011
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
.13433
20.0%
17449
 
11.1%
04575
 
6.8%
e4349
 
6.5%
i4303
 
6.4%
23872
 
5.8%
2940
 
4.4%
32473
 
3.7%
41999
 
3.0%
51614
 
2.4%
Other values (65)20004
29.9%

Android Ver
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size146.2 KiB
4.1 and up
2059 
Varies with device
1319 
4.0.3 and up
1240 
4.0 and up
1129 
4.4 and up
875 
Other values (26)
2738 

Length

Max length18
Median length10
Mean length11.446261
Min length9

Characters and Unicode

Total characters107137
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row4.0.3 and up
2nd row4.0.3 and up
3rd row4.0.3 and up
4th row4.2 and up
5th row4.4 and up

Common Values

ValueCountFrequency (%)
4.1 and up2059
22.0%
Varies with device1319
14.1%
4.0.3 and up1240
13.2%
4.0 and up1129
12.1%
4.4 and up875
9.3%
2.3 and up582
 
6.2%
5.0 and up535
 
5.7%
4.2 and up337
 
3.6%
2.3.3 and up240
 
2.6%
3.0 and up211
 
2.3%
Other values (21)833
8.9%

Length

2026-02-01T01:30:18.041856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and8034
28.6%
up8034
28.6%
4.12060
 
7.3%
varies1319
 
4.7%
with1319
 
4.7%
device1319
 
4.7%
4.0.31242
 
4.4%
4.01129
 
4.0%
4.4875
 
3.1%
2.3582
 
2.1%
Other values (22)2167
 
7.7%

Most occurring characters

ValueCountFrequency (%)
18720
17.5%
.9541
8.9%
d9353
8.7%
a9353
8.7%
p8034
 
7.5%
u8034
 
7.5%
n8034
 
7.5%
46737
 
6.3%
i3957
 
3.7%
e3957
 
3.7%
Other values (18)21417
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)107137
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18720
17.5%
.9541
8.9%
d9353
8.7%
a9353
8.7%
p8034
 
7.5%
u8034
 
7.5%
n8034
 
7.5%
46737
 
6.3%
i3957
 
3.7%
e3957
 
3.7%
Other values (18)21417
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)107137
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18720
17.5%
.9541
8.9%
d9353
8.7%
a9353
8.7%
p8034
 
7.5%
u8034
 
7.5%
n8034
 
7.5%
46737
 
6.3%
i3957
 
3.7%
e3957
 
3.7%
Other values (18)21417
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)107137
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18720
17.5%
.9541
8.9%
d9353
8.7%
a9353
8.7%
p8034
 
7.5%
u8034
 
7.5%
n8034
 
7.5%
46737
 
6.3%
i3957
 
3.7%
e3957
 
3.7%
Other values (18)21417
20.0%

Interactions

2026-02-01T01:21:20.400035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-01T01:19:04.605399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-01T01:23:48.893415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-01T01:19:05.324394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-02-01T01:30:18.458632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Android VerCategoryContent RatingInstallsRatingReviewsType
Android Ver1.0000.1000.0520.1050.0710.0000.175
Category0.1001.0000.3570.1140.0850.2030.203
Content Rating0.0520.3571.0000.0780.0410.4960.046
Installs0.1050.1140.0781.0000.1760.0000.292
Rating0.0710.0850.0410.1761.0000.1560.071
Reviews0.0000.2030.4960.0000.1561.0000.000
Type0.1750.2030.0460.2920.0710.0001.000

Missing values

2026-02-01T01:29:53.751876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-02-01T01:29:54.361299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver
0Photo Editor & Candy Camera & Grid & ScrapBookART_AND_DESIGN4.115919M10,000+Free0EveryoneArt & DesignJanuary 7, 20181.0.04.0.3 and up
1Coloring book moanaART_AND_DESIGN3.996714M500,000+Free0EveryoneArt & Design;Pretend PlayJanuary 15, 20182.0.04.0.3 and up
2U Launcher Lite – FREE Live Cool Themes, Hide AppsART_AND_DESIGN4.7875108.7M5,000,000+Free0EveryoneArt & DesignAugust 1, 20181.2.44.0.3 and up
3Sketch - Draw & PaintART_AND_DESIGN4.521564425M50,000,000+Free0TeenArt & DesignJune 8, 2018Varies with device4.2 and up
4Pixel Draw - Number Art Coloring BookART_AND_DESIGN4.39672.8M100,000+Free0EveryoneArt & Design;CreativityJune 20, 20181.14.4 and up
5Paper flowers instructionsART_AND_DESIGN4.41675.6M50,000+Free0EveryoneArt & DesignMarch 26, 20171.02.3 and up
6Smoke Effect Photo Maker - Smoke EditorART_AND_DESIGN3.817819M50,000+Free0EveryoneArt & DesignApril 26, 20181.14.0.3 and up
7Infinite PainterART_AND_DESIGN4.13681529M1,000,000+Free0EveryoneArt & DesignJune 14, 20186.1.61.14.2 and up
8Garden Coloring BookART_AND_DESIGN4.41379133M1,000,000+Free0EveryoneArt & DesignSeptember 20, 20172.9.23.0 and up
9Kids Paint Free - Drawing FunART_AND_DESIGN4.71213.1M10,000+Free0EveryoneArt & Design;CreativityJuly 3, 20182.84.0.3 and up
AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver
10828Manga-FR - Anime VostfrCOMICS3.429113M10,000+Free0EveryoneComicsMay 15, 20172.0.14.0 and up
10829Bulgarian French Dictionary FrBOOKS_AND_REFERENCE4.66037.4M10,000+Free0EveryoneBooks & ReferenceJune 19, 20162.964.1 and up
10830News Minecraft.frNEWS_AND_MAGAZINES3.88812.3M100,000+Free0EveryoneNews & MagazinesJanuary 20, 20141.51.6 and up
10832FR TidesWEATHER3.81195582k100,000+Free0EveryoneWeatherFebruary 16, 20146.02.1 and up
10833Chemin (fr)BOOKS_AND_REFERENCE4.844619k1,000+Free0EveryoneBooks & ReferenceMarch 23, 20140.82.2 and up
10834FR CalculatorFAMILY4.072.6M500+Free0EveryoneEducationJune 18, 20171.0.04.1 and up
10836Sya9a Maroc - FRFAMILY4.53853M5,000+Free0EveryoneEducationJuly 25, 20171.484.1 and up
10837Fr. Mike Schmitz Audio TeachingsFAMILY5.043.6M100+Free0EveryoneEducationJuly 6, 20181.04.1 and up
10839The SCP Foundation DB fr nn5nBOOKS_AND_REFERENCE4.5114Varies with device1,000+Free0Mature 17+Books & ReferenceJanuary 19, 2015Varies with deviceVaries with device
10840iHoroscope - 2018 Daily Horoscope & AstrologyLIFESTYLE4.539830719M10,000,000+Free0EveryoneLifestyleJuly 25, 2018Varies with deviceVaries with device

Duplicate rows

Most frequently occurring

AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver# duplicates
57CBS Sports App - Scores, News, Stats & Watch LiveSPORTS4.391031Varies with device5,000,000+Free0EveryoneSportsAugust 4, 2018Varies with device5.0 and up4
156Google KeepPRODUCTIVITY4.4691474Varies with device100,000,000+Free0EveryoneProductivityAugust 6, 2018Varies with deviceVaries with device4
249NickENTERTAINMENT4.212327925M10,000,000+Free0Everyone 10+Entertainment;Music & VideoJanuary 24, 20182.0.84.4 and up4
280Quizlet: Learn Languages & Vocab with FlashcardsEDUCATION4.6211856Varies with device10,000,000+Free0EveryoneEducationAugust 1, 2018Varies with deviceVaries with device4
308SkyscannerTRAVEL_AND_LOCAL4.548154629M10,000,000+Free0EveryoneTravel & LocalAugust 6, 20185.484.4 and up4
364WatchESPNSPORTS4.12888096.6M10,000,000+Free0EveryoneSportsSeptember 27, 20172.5.14.4 and up4
387eBay: Buy & Sell this Summer - Discover Deals Now!SHOPPING4.42788923Varies with device100,000,000+Free0TeenShoppingJuly 30, 2018Varies with deviceVaries with device4
7A&E - Watch Full Episodes of TV ShowsENTERTAINMENT4.02970619M1,000,000+Free0TeenEntertainmentJuly 16, 20183.1.44.4 and up3
14Adult Dirty EmojisDATING2.8805.5M10,000+Free0TeenDatingNovember 6, 20171.04.0.3 and up3
27BBC NewsNEWS_AND_MAGAZINES4.3296781Varies with device10,000,000+Free0Everyone 10+News & MagazinesJuly 24, 2018Varies with deviceVaries with device3